Bryce N

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Bryce N

Bryce N

@BryceNeil__

founder @visiblsemi | Y Combinator W26 | prev ai @deloitte | 🇨🇦

San Francisco, CA Katılım Aralık 2023
284 Takip Edilen303 Takipçiler
Brycent
Brycent@brycent·
Visual representation of Anthropic in 2021
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Drafted
Drafted@DraftedAI·
1/4 Most people spend their lives living in buildings they had little influence over. We believe AI can help change that. Over the last month, 120,000 people generated 325,000+ home designs with Drafted.ai Today, we're excited to share that we've raised a $16M Seed led by Buckley Ventures to continue building multimodal generative models for residential architecture and spatial design. Here's a glimpse of what we're building:
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Jordon Kashanchi
Jordon Kashanchi@jordonkash·
Today, a single Nvidia Jetson AGX can run a GPT-3.5-class local model at the edge ($2K, if you can buy one). But who cares when you’re a hobbyist with decent networking? Great video on how cool bots can be made for less than $100 youtu.be/S67z2aekBrI?si…
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James Grugett
James Grugett@jahooma·
Introducing a 100% free coding agent with DeepSeek v4 Pro Choose any model, all free: - DeepSeek v4 Pro/Flash - Kimi K2.6 - MiniMax M2.7 npm i -g freebuff
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S.J. Cristea
S.J. Cristea@sj_cristea·
It’s official!!! I’m gonna be a published author!! Words cannot describe how grateful I have felt these last few months, this is an absolute dream come true ❤️ Skeeter Pete 🐕🐶 is gonna steal your hearts (unless you’re a cat person 🤭)
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Jordon Kashanchi
Jordon Kashanchi@jordonkash·
Celebrating 3 years in the San Francisco Bay Area, the technological epicenter of the world! Grateful to be surrounded by amazing people everyday.
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Philip Johnston
Philip Johnston@PhilipJohnston·
Sometimes I literally wonder if I’m dreaming and will wake up. Yesterday was one of those times as I got to speak on the same stage as @DemisHassabis twice in one week 😅🤯 Thanks so much @YCombinator for hosting and thanks Demis for humouring my questions on the Femi Paradox for the second time!
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Philip Johnston
Philip Johnston@PhilipJohnston·
Still can’t believe I got to be in this lineup 😮😮
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Theo - t3.gg
Theo - t3.gg@theo·
Current YC batch is very good. I am now much more broke.
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James Grugett
James Grugett@jahooma·
Introducing Freebuff: the free coding agent 100% free, up to 10x as fast as Claude Code npm install -g freebuff
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Daanish Khazi
Daanish Khazi@bertgodel·
We’re announcing Kos-1 Lite, a medical model that achieves SOTA on HealthBench Hard at 46.6%. As a medium sized language model (~100B), it achieves these results at a fraction of the serving cost of frontier trillion-parameter models.
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Gustaf Alströmer
Gustaf Alströmer@gustaf·
Today we had the best group office hours of the entire W26 batch. Nearly all startups exceeding their goals.
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Paul Graham
Paul Graham@paulg·
Someone asked what's the most underappreciated quality in startup founders. I realized I could answer this by asking what's the most underappreciated aspect of startups. That's easy: how hard they are. So the most underappreciated quality in founders is sheer toughness.
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Mike Gunter
Mike Gunter@MikeGunter_·
Very excited to share more about what we've been working on.
Reiner Pope@reinerpope

We’re building an LLM chip that delivers much higher throughput than any other chip while also achieving the lowest latency. We call it the MatX One. The MatX One chip is based on a splittable systolic array, which has the energy and area efficiency that large systolic arrays are famous for, while also getting high utilization on smaller matrices with flexible shapes. The chip combines the low latency of SRAM-first designs with the long-context support of HBM. These elements, plus a fresh take on numerics, deliver higher throughput on LLMs than any announced system, while simultaneously matching the latency of SRAM-first designs. Higher throughput and lower latency give you smarter and faster models for your subscription dollar. We’ve raised a $500M Series B to wrap up development and quickly scale manufacturing, with tapeout in under a year. The round was led by Jane Street, one of the most tech-savvy Wall Street firms, and Situational Awareness LP, whose founder @leopoldasch wrote the definitive memo on AGI. Participants include @sparkcapital, @danielgross and @natfriedman’s fund, @patrickc and @collision, @TriatomicCap, @HarpoonVentures, @karpathy, @dwarkesh_sp, and others. We’re also welcoming investors across the supply chain, including Marvell and Alchip. @MikeGunter_ and I started MatX because we felt that the best chip for LLMs should be designed from first principles with a deep understanding of what LLMs need and how they will evolve. We are willing to give up on small-model performance, low-volume workloads, and even ease of programming to deliver on such a chip. We’re now a 100-person team with people who think about everything from learning rate schedules, to Swing Modulo Scheduling, to guard/round/sticky bits, to blind-mated connections—all in the same building. If you’d like to help us architect, design, and deploy many generations of chips in large volume, consider joining us.

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Bloomberg
Bloomberg@business·
An AI chip startup founded by two Google alumni has raised more than $500 million in a new round to compete with Nvidia bloomberg.com/news/articles/…
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